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» Finding the Best Feature Detector-Descriptor Combination
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3DIM
2011
IEEE
12 years 4 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
CORR
2011
Springer
212views Education» more  CORR 2011»
12 years 11 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
BMCBI
2004
205views more  BMCBI 2004»
13 years 4 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
ESWS
2007
Springer
13 years 10 months ago
Combining RDF Vocabularies for Expert Finding
Abstract. This paper presents a framework for the reuse and extension of existing, established vocabularies in the Semantic Web. Driven by the primary application of expert findin...
Boanerges Aleman-Meza, Uldis Bojars, Harold Boley,...
AIPR
2004
IEEE
13 years 8 months ago
An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
Orlando J. Hernandez, Alireza Khotanzad